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Wyszukujesz frazę "RADAR data" wg kryterium: Temat


Tytuł:
Mathematical modelling of rainfall runoff from small catchments of the northwest coast of the Black Sea
Autorzy:
Moniushko, M.
Daus, M.
Zakharova, M.
Powiązania:
https://bibliotekanauki.pl/articles/108582.pdf
Data publikacji:
2015
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
spatial model
radar data
ground data
rainfall
discharge
runoff
hydrograph
Opis:
This article is devoted to the use of a mathematical model of a flood runoff for calculating rainfall runoff hydrographs from small catchments of the northwest coast of the Black Sea. The described model was tested and applied for the following catchments located in various geographical conditions, with various amounts of initial data: experimental catchments in Zacarpathian, the northwest of the Black Sea region – Ukraine and the Republic of Moldova, small catchments of the northern part of Vietnam, etc. This work was carried out on the basis of Moldavian Water-Balance Station databases. The development of a complex approach to a mathematical simulation of the formation of the processes of rain floods from small catchments is also given further investigation in this article. A brief description of the structure of a flood runoff spatial model from small catchments then provided. As well as this, the advantages of using radiolocation measurement of rainfall in the mathematical modeling of the formation of a flood runoff are shown. The results of construction runoff hydrographs confirm the possibility of applying this spatial model with the use of radar information. The optimization of model parameters was made with the data of 123 floods. The values of the quality criterion S/σ turned out not to exceed the value 0.8 in 81% of the considered cases of floods.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2015, 3, 1; 45-50
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dokladność danych radarowych SRTM - teoria i praktyka
Autorzy:
Zieliński, R.
Powiązania:
https://bibliotekanauki.pl/articles/130574.pdf
Data publikacji:
2004
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
dane radarowe
SRTM
teledetekcja
uprawy
radar data
teledetection
crops
Opis:
W referacie przedstawiono próbę oceny przydatności danych radarowych SRTM dla celów kontroli upraw metodą teledetekcyjną poprzez wyznaczenie ich dokładności względnej i bezwzględnej. Analizę dokładności przeprowadzono na 17 obszarach testowych rozmieszczonych na terenie całej Europy. Do porównania wykorzystano dane pochodzące z projektu CwRS 2003. Mimo niejednorodności danych referencyjnych (rożne dokładności i odwzorowania kartograficzne), uzyskano zaskakująco dobre wyniki. Zilustrowano również relacje pomiędzy dokładnością względną danych SRTM a ukształtowaniem terenu.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2004, 14; 1-12
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Satelitarna technologia radarowa wsparciem w budownictwie
Satellite radar technology as an innovative assistance for civil engineering
Autorzy:
Porzycka-Strzelczyk, S.
Strzelczyk, J.
Powiązania:
https://bibliotekanauki.pl/articles/365487.pdf
Data publikacji:
2014
Wydawca:
Nowoczesne Budownictwo Inżynieryjne
Tematy:
technologie satelitarne
dane radarowe
dane SAR
stabilność
monitoring
budownictwo
satellite technology
radar data
SAR data
stability
architecture
Opis:
W ciągu ostatnich kilkunastu lat nastąpił dynamiczny rozwój technologii satelitarnych. Dostarczają one danych, które wykorzystywane są przez coraz szerszą grupę użytkowników. Pomiary satelitarne stanowią cenne źródło informacji nie tylko dla naukowców i przedsiębiorców zapoznanych z technologią kosmiczną, ale także dla firm, które nie są bezpośrednio związane z tą branżą. Ostatnie lata pokazują również, że polskie instytucje coraz mocniej angażują się m.in. w rozwój nowych metod przetwarzania danych satelitarnych, a także w budowanie komponentów sprzętowych wykorzystywanych przez światowe agencje kosmiczne.
There has been a rapid development of satellite technology over the past several years. They provide data that are used by an ever wider group of users. Satellite measurements constitute a valuable source of information not only for researchers and space technology companies, but also for businesses that are not directly associated with that industry. Recent years have shown that also Polish institutions are becoming increasingly engaged in the development of new methods of satellite data processing, for instance, as well as building hardware components used by space agencies throughout the world.
Źródło:
Nowoczesne Budownictwo Inżynieryjne; 2014, 5; 89-91
1734-6681
Pojawia się w:
Nowoczesne Budownictwo Inżynieryjne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Marine parameters from radar satellite data
Autorzy:
Lehner, S.
Schulz-Stellenfleth, J.
Horstmann, J.
Powiązania:
https://bibliotekanauki.pl/articles/241032.pdf
Data publikacji:
2001
Wydawca:
Polska Akademia Nauk. Instytut Budownictwa Wodnego PAN
Tematy:
marine parameters
radar satellite data
oceanographic data
wind
ocean wave fields
Opis:
In 2001 the European Space Agency ESA will launch the earth observation satellite ENVISAT. It will carry several instruments that provide new opportunities to measure oceanographic variabIes. These are the Advanced Synthetic Aperture Radar (ASAR), the Radar Altimeter (RA), the Medium Resolution Imaging Spectrometer (MERIS) and the Advanced Along-Track Scanning Radiometer (AATSR). Together, they rep-resent the main measurement techniques of satellite oceanography, and complement each other perfectly. These instruments are to be used in synergy to: ź improve the analysis of measured wind and ocean wave fields, and thereby improve weather forecasting at weather centers; ź determine the extent and variables of sea ice and develop a five-day sea ice prediction model, to support maritime shipping and offshore activities; ź monitor map sediment and suspended matter transport in coastal regions, especially in areas with large river estuaries, which greatly affects shipping lanes, harbours, and dredging activities; ź monitor hydrobiological and bio-geochemical variables related to water quality in coastal regions and large inland waters, which affects ecology, coastal development, aquaculture, drinking water supplies, and tourism. To prepare the oceanographic community to make best use of the ENVISAT sensors in the pre-Iaunch phase, existing algorithms to derive marine parameters are used and validated using data from the ERS SAR, the ERS RA, Sea WiFS, and IRS MOS sensors now in operation. Derived products, which include wind field, sea state, sea level, sea surface temperature and concentrations of water constituents, are used to address problems that can be tackled best using the synergy of radar and optical data, such as the effect of surface slicks on radar wind measurements, sea state on ocean color, wind and waves on the resuspension of suspended matter, and wind and waves on sea ice variabIes.
Źródło:
Archives of Hydro-Engineering and Environmental Mechanics; 2001, 48, 2; 17-29
1231-3726
Pojawia się w:
Archives of Hydro-Engineering and Environmental Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimating forest biomass by remote sensing RADAR data in Brazil
Autorzy:
Santos, J.R.
Gama, F.F.
da Conceicao Bispo, P.
Powiązania:
https://bibliotekanauki.pl/articles/52438.pdf
Data publikacji:
2014
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna
Tematy:
forest biomass
biomass modelling
forest inventory
tropical forest
remote sensing
eucalyptus tree
stand
RADAR data
Brazil
Źródło:
Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2014, 57, 192
1644-3985
Pojawia się w:
Drewno. Prace Naukowe. Doniesienia. Komunikaty
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Processing of 3D Weather Radar Data with Application for Assimilation in the NWP Model
Autorzy:
Ośródka, Katarzyna
Szturc, Jan
Jakubiak, Bogumił
Jurczyk, Anna
Powiązania:
https://bibliotekanauki.pl/articles/2037641.pdf
Data publikacji:
2014-10-10
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:
Weather radar
radar refectivity
data quality
data assimilation
Opis:
The paper is focused on the processing of 3D weather radar data to minimize the impact of a number of errors from different sources, both meteorological and non-meteorological. The data is also quantitatively characterized in terms of its quality. A set of dedicated algorithms based on analysis of the reflectivity field pattern is described. All the developed algorithms were tested on data from the Polish radar network POLRAD. Quality control plays a key role in avoiding the introduction of incorrect information into applications using radar data. One of the quality control methods is radar data assimilation in numerical weather prediction models to estimate initial conditions of the atmosphere. The study shows an experiment with quality controlled radar data assimilation in the COAMPS model using the ensemble Kalman filter technique. The analysis proved the potential of radar data for such applications; however, further investigations will be indispensable.
Źródło:
Miscellanea Geographica. Regional Studies on Development; 2014, 18, 3; 31-39
0867-6046
2084-6118
Pojawia się w:
Miscellanea Geographica. Regional Studies on Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A dedicated computer system for FM-CW radar applications
Autorzy:
Heijnen, S.H.
Sinttruijen, J.S. van
Zwan, F.W. van der
Ligthart, L.P.
Powiązania:
https://bibliotekanauki.pl/articles/309084.pdf
Data publikacji:
2001
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
radar
data processing
system control
Opis:
In this paper, a DSP based computer system for FM-CW radar applications is described. Besides data acquisition and storage, the computer system will also be used for front-end data processing and system control. Processing includes filtering and clutter suppression. The radar for which the computer is designed is a multi parameter atmospheric profiler capable of doing Doppler and polarimetric measurements. The computer system will allow for a measurement of the full polarimetric scattering matrix over 512 range cells and 512 Doppler cells in 2 s. Radar system control includes the timing and the settings of the radar system together with linearity correction of the sweep oscillator.
Źródło:
Journal of Telecommunications and Information Technology; 2001, 4; 21-25
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Blob Extraction Algorithm in Detection of Convective Cells for Data Fusion
Autorzy:
Szuster, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/307700.pdf
Data publikacji:
2019
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
big data
blob extraction
data fusion
data integration
image processing
radar images
Opis:
Earth’s atmosphere is monitored by a multitude of sensors. It is the troposphere that is of crucial importance for human activity, as it is there that the weather phenomena take place. Weather observations are performed by surface sensors monitoring, inter alia, humidity, temperature and winds. In order to observe the developments taking place in the atmosphere, especially in the clouds, weather radars are commonly used. They monitor severe weather that is associated with storm clouds, cumulonimbuses, which create precipitation visible on radar screens. Therefore, radar images can be utilized to track storm clouds in a data fusion system. In this paper an algorithm is developed for the extraction of blobs (interesting areas in radar imagery) used within data fusion systems to track storm cells. The algorithm has been tested with the use of real data sourced from a weather radar network. 100% of convection cells were detected, with 90% of them being actual thunderstorms.
Źródło:
Journal of Telecommunications and Information Technology; 2019, 4; 65-73
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
MeteoGIS: GIS-based system for monitoring of severe meteorological phenomena
Autorzy:
Jurczyk, A.
Ośródka, K.
Szturc, J.
Giszterowicz, M.
Przeniczny, P.
Tkocz, G.
Powiązania:
https://bibliotekanauki.pl/articles/108449.pdf
Data publikacji:
2015
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
meteorological data
weather radar
GIS
monitoring
nowcasting
Opis:
The MeteoGIS system developed at the Institute of Meteorology and Water Management – National Research Institute in Poland is a GIS-based system for real-time monitoring of weather and the generation of meteorological warnings. Apart from its monitoring features, it can also provide more advanced analysis, including SQL (Structured Query Language) queries and statistical analyses. Input data are provided mainly by the INCA-PL 2 nowcasting model which employs forecasts from the high-resolution AROME numerical weather prediction model and measurement data from the Polish weather radar network POLRAD and surface meteorological stations. As well as this, data from the PERUN lighting detection system are used. Ingestion of such data allows for the mitigation of risk from potentially hazardous weather phenomena such as extreme temperatures, strong wind, thunderstorms, heavy rain and subsequent impending floods. The following meteorological parameters at ground level are visualised in the MeteoGIS: (i) precipitation (accumulation and type), (ii) temperature, (iii) wind (speed and direction), (iv) lightning (locations and type). End users of the system are workers from civil protection services who are interested in shortterm warnings against severe weather events, especially area-oriented ones (related to districts, catchments, etc.). The reliability of visualised data is a very important issue, and from the MeteoGIS user’s point of view the improvement in data quality is a continuous process.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2015, 3, 2; 49-61
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie metod fuzji danych w zarządzaniu zasobami radaru wielofunkcyjnego
The Application of the Data Fusion Methods in the Multifunction Radar Resources Management
Autorzy:
Komorniczak, W.
Kawalec, A.
Pietrasiński, J.
Powiązania:
https://bibliotekanauki.pl/articles/210695.pdf
Data publikacji:
2006
Wydawca:
Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
Tematy:
radar wielofunkcyjny
fuzja danych
sieci neuronowe
systemy rozmyte
multifunction radar
data fusion
neural networks
fuzzy logic
Opis:
W referacie poruszono tematykę związaną z zarządzaniem zasobami radaru wielofunkcyjnego. Jako jeden z elementów tego procesu wyróżniono priorytetyzację (rangowanie) zadań realizowanych przez radar. Rangowanie jest wymuszone przez potencjalnie niedostateczne zasoby wymagane do realizacji wszystkich zadań radaru, stąd konieczność szeregowania obsługiwanych przezeń obiektów zgodnie z ich istotnością. W referacie scharakteryzowano dane źródłowe zasilające proces rangowania oraz przedstawiono algorytmy przetwarzania tych danych. Zaprezentowane algorytmy oparto na wybranych metodach fuzji danych. Przedstawiono przebieg i wyniki badań procesu rangowania oraz wyniki badań wpływu zastosowania rangowania na niektóre parametry zarządzania zasobami radaru wielofunkcyjnego.
The paper deals with the problem of the multifunction radar resources management (RRM). The objectives of RRM are: optimal (from the radar performance point of view) resources allocation and the device operation control. As a result of RRM, it is expected a matrix containing information for the execution systems: " what, when, and how to do. The main constraints to deal with in the radar work are: time and energy limitations. If it is enough resource to execute all the tasks, the tasks execution is feasible. But in real situation one should not expect such a comfort. Typically neither time nor energy is enough and the questions arises what to do in these circumstances. It is obvious that only selected tasks can be executed, the RRM should answer which of them and in what order. To answer these questions, the structure of the RRM was proposed. First of all it is necessary to rank the tasks in order of their priorities, then to select the most important of them and schedule their execution. RRM is decomposed into two sub-problems, e.g.: ranking and task scheduling. The ranking belongs to the identification problems class, while the scheduling can be treated as an optimization task. The paper presents the data fusion approach to the task ranking. There are numerous examples of utilization of the data fusion tools in order to solve the identification problems. The conclusions from these examples can be following: the neural networks which have the ability to learn from the presented examples have also disadvantage of impossibility of extraction of the gathered knowledge. The internal processes of reasoning are neither well described nor studied, so they are not a good tool for military application, which the multifunction radar is. Fuzzy logic systems (based on the fuzzy sets theory and fuzzy logic) have the advantage of good and clear knowledge representation and ability to relatively easy implementation of the expert knowledge. The good side of the fuzzy systems is their possibility of maintaining and fusion of the imperfect knowledge. The disadvantage is the lack of ability to learn whole the knowledge from the examples. Some hybrid solutions are necessary. Four solutions are presented in the paper: neural, fuzzy, fuzzy — neural and probabilistic — fuzzy. In order to implement data fusion tools, the base test platform was designed and implemented. In fact, the test platform is a complex process of multifunction radar resources management, as well as it deals with the task scheduling problem. In order to evaluate the algorithms presented in the paper, some factors of radar work performance were defined. Presented ranking algorithms have capability of learning with use of the registered data learning set. Algorithms with their knowledge bases were tested and compared. The conclusion is following: the use of ranking process gives approximately two times better performance in task removal/delay aspect. On the other hand, the quality of algorithm (its accuracy) has lower influence on the final result. It means that for the use in radar application the algorithm with the best convergence during learning process and stability should be recommended. It is also important that the algorithm should have clear knowledge representation. These requirements meet two of the presented algorithms: neural - fuzzy and probabilistic - fuzzy. The first one was used against the positional data, the second one gave the best results for identification data. It is important, that overall performance of the presented RRM and ranking algorithms was tested with the use of real registered data, what makes it very interesting from the application point of view.
Źródło:
Biuletyn Wojskowej Akademii Technicznej; 2006, 55, 1; 55-75
1234-5865
Pojawia się w:
Biuletyn Wojskowej Akademii Technicznej
Dostawca treści:
Biblioteka Nauki
Artykuł

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